Tool | Description |
---|---|
EdgeX Foundry | A vendor-neutral, open-source framework for building edge computing solutions. |
KubeEdge | Kubernetes-native edge computing framework for managing workloads and devices at the edge. |
Open Horizon | IBM’s open-source project for managing edge devices and apps at scale. |
Baetyl | An edge computing platform from Baidu, designed for AI at the edge. |
LF Edge Projects | A Linux Foundation umbrella hosting multiple edge computing projects like Fledge, EVE, etc. |
FogLAMP | Open-source fog computing platform for industrial IoT. |
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EV / Revenue: It measures the dollars in Enterprise Value for each dollar of revenue. High-profit margins are highly correlated with higher revenue multiples.
Formula: EV / Revenue = Enterprise Value / Revenue
-
EV / EBITDA: Firms with high growth rates typically trade at higher EBITDA Multiples.
Formula: EV / EBITDA = Enterprise Value / EBITDA
Troubleshooting Kubernetes issues beyond logs requires a systematic approach to inspect cluster components, resources, and configurations. Below, I outline key open-source tools and techniques (excluding log analysis, as you specified) to diagnose problems in Kubernetes related to running processes, open ports, network connections, hardware usage (CPU, memory, disk, network), and cluster-specific issues like pod failures, networking, or misconfigurations. These methods focus on on-demand troubleshooting and leverage tools that provide insights into the cluster's state.
- Tool/Method:
kubectl
- Purpose: Native Kubernetes CLI to check the state of pods, nodes, services, deployments, and other resources.
- Techniques:
- Check Pod Status:
kubectl get pods -n <namespace> -o wide
to see pod status (e.g.,CrashLoopBackOff
,Pending
), node assignment, and IP addresses. - Describe Resources: `kubectl describe pod <po
- Check Pod Status:
There are numerous open-source tools available for troubleshooting operating systems across various aspects like running processes, open ports, network connections, hardware usage (CPU, memory, disk, network), and logs. Below is a categorized list of popular open-source tools that can help with these tasks, primarily focusing on Linux/Unix systems, but some are cross-platform and work on Windows or macOS as well.
- top: Real-time system-monitoring tool for Unix systems, displays CPU and memory usage by processes.
- Alternative: htop (enhanced, user-friendly version with a colorful interface and process management features).
- ps: Displays a snapshot of current processes, highly customizable for filtering and formatting output.
- pidstat (part of sysstat): Monitors individual process statistics like CPU, memory, and I/O usage over time.
- Glances: Cross-platform system-monitoring tool that provides a comprehensive view of processes, CPU, memory
Streamers need to apply Content Classification Labels to indicate to viewers if the stream they’re about to watch contains themes related to: Mature-Rated Games; Sexual Themes; Drugs, Intoxication, or Excessive Tobacco Use; Violent and Graphic Depictions; Significant Profanity or Vulgarity; Politics and Sensitive Social Issues; or Gambling.
Do you know the benefits of content classification?
- Improves customer experience
- Reduces service and operational costs
- Eases integration with core business applications
- Automates bulk documents classification
- Facilitates adherence to regulatory compliance
+-----------------------------------------------------------------------------------------+
| NVIDIA-SMI 570.124.06 Driver Version: 570.124.06 CUDA Version: 12.8 |
|-----------------------------------------+------------------------+----------------------+
| GPU Name Persistence-M | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+========================+======================|
I’m thrilled to announce the launch of my Conversational AI project, https://chat.aisvc.io – a ChatBot designed to provide fast, intelligent, free, and unlimited conversations.
This is a hobby project I created during my AI studies. Please feel free to use it as much as you want. You can send me a feedback via link on that page or direct message from the LinkedIn.
There are some limitations:
- Response tokenization speed may decrease depending on the number of active users
- It may produce hallucinations
- There is no user-based memory
- Model size is 7.25B params (to compare: ChatGPT 4o has over 200B params)
- Some training data might be outdated
An Engineering Manager plays a crucial role in both technical leadership and people management within a team. Their responsibilities span across ensuring the delivery of high-quality engineering work, fostering team collaboration, managing individual performance, and aligning engineering efforts with broader company goals. Here’s a detailed look at what an Engineering Manager should do in a team:
-
Team Leadership and Development
- Mentor and Develop Engineers
- Performance Management
- Foster a Collaborative Culture
- Conflict Resolution
- Hiring and Onboarding
-
Technical Leadership and Decision Making